add session id support to trace export by mabdinur · Pull Request #1822 · DataDog/libdatadog

mabdinur · 2026-03-30T18:33:46Z

What does this PR do?

Adds optional instrumentation session IDs for telemetry on the trace exporter path: FFI (TelemetryClientConfig + wiring), Rust (TelemetryInstrumentationSessions + builder), C example, and a combined telemetry test for runtime id + session headers.

Motivation

Allow trace-exporter telemetry to send dd-session-id / root / parent consistently with the rest of telemetry configuration.

Additional notes

TelemetryConfig is unchanged.
Not used by dd-trace-php (that path uses the telemetry worker builder).

How to test

cargo test -p libdd-data-pipeline telemetry::tests::runtime_id_and_session_headers_test --lib
cargo test -p libdd-data-pipeline-ffi trace_exporter::tests::config_telemetry_test --lib

Build and run examples/ffi/trace_exporter.c with the updated TelemetryClientConfig fields.

github-actions · 2026-03-30T18:35:09Z

📚 Documentation Check Results

⚠️ 935 documentation warning(s) found

📦 `libdd-data-pipeline` - 935 warning(s)

Updated: 2026-04-23 18:04:53 UTC | Commit: 3166cc7 | missing-docs job results

github-actions · 2026-03-30T18:36:56Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/munir/add-session-id-to-trace-exporter

Summary by Rule

Rule	Base Branch	PR Branch	Change
unwrap_used	3	3	No change (0%)
Total	3	3	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
`libdd-data-pipeline/src/telemetry/mod.rs`	1	1	No change (0%)
`libdd-data-pipeline/src/trace_exporter/mod.rs`	2	2	No change (0%)

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
`clippy-annotation-reporter`	5	5	No change (0%)
`datadog-ffe-ffi`	1	1	No change (0%)
`datadog-ipc`	21	21	No change (0%)
`datadog-live-debugger`	6	6	No change (0%)
`datadog-live-debugger-ffi`	10	10	No change (0%)
`datadog-profiling-replayer`	4	4	No change (0%)
`datadog-remote-config`	3	3	No change (0%)
`datadog-sidecar`	56	56	No change (0%)
`libdd-common`	10	10	No change (0%)
`libdd-common-ffi`	12	12	No change (0%)
`libdd-data-pipeline`	5	5	No change (0%)
`libdd-ddsketch`	2	2	No change (0%)
`libdd-dogstatsd-client`	1	1	No change (0%)
`libdd-profiling`	13	13	No change (0%)
`libdd-telemetry`	19	19	No change (0%)
`libdd-tinybytes`	4	4	No change (0%)
`libdd-trace-normalization`	2	2	No change (0%)
`libdd-trace-obfuscation`	8	8	No change (0%)
`libdd-trace-stats`	1	1	No change (0%)
`libdd-trace-utils`	15	15	No change (0%)
Total	198	198	No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

github-actions · 2026-03-30T18:38:06Z

🔒 Cargo Deny Results

⚠️ 5 issue(s) found, showing only errors (advisories, bans, sources)

📦 `libdd-data-pipeline` - 5 error(s)

Show output

error[unsound]: Rand is unsound with a custom logger using `rand::rng()`
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:208:1
    │
208 │ rand 0.8.5 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ unsound advisory detected
    │
    ├ ID: RUSTSEC-2026-0097
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0097
    ├ It has been reported (by @lopopolo) that the `rand` library is [unsound](https://rust-lang.github.io/unsafe-code-guidelines/glossary.html#soundness-of-code--of-a-library) (i.e. that safe code using the public API can cause Undefined Behaviour) when all the following conditions are met:
      
      - The `log` and `thread_rng` features are enabled
      - A [custom logger](https://docs.rs/log/latest/log/#implementing-a-logger) is defined
      - The custom logger accesses `rand::rng()` (previously `rand::thread_rng()`) and calls any `TryRng` (previously `RngCore`) methods on `ThreadRng`
      - The `ThreadRng` (attempts to) reseed while called from the custom logger (this happens every 64 kB of generated data)
      - Trace-level logging is enabled or warn-level logging is enabled and the random source (the `getrandom` crate) is unable to provide a new seed
      
      `TryRng` (previously `RngCore`) methods for `ThreadRng` use `unsafe` code to cast `*mut BlockRng<ReseedingCore>` to `&mut BlockRng<ReseedingCore>`. When all the above conditions are met this results in an aliased mutable reference, violating the Stacked Borrows rules. Miri is able to detect this violation in sample code. Since construction of [aliased mutable references is Undefined Behaviour](https://doc.rust-lang.org/stable/nomicon/references.html), the behaviour of optimized builds is hard to predict.
    ├ Announcement: https://github.com/rust-random/rand/pull/1763
    ├ Solution: Upgrade to >=0.10.1 OR <0.10.0, >=0.9.3 OR <0.9.0, >=0.8.6 (try `cargo update -p rand`)
    ├ rand v0.8.5
      ├── libdd-common v3.0.2
      │   ├── libdd-capabilities-impl v0.1.0
      │   │   ├── (dev) libdd-data-pipeline v3.0.1
      │   │   ├── libdd-trace-stats v2.0.0
      │   │   │   └── libdd-data-pipeline v3.0.1 (*)
      │   │   └── libdd-trace-utils v3.0.1
      │   │       ├── libdd-data-pipeline v3.0.1 (*)
      │   │       ├── libdd-trace-stats v2.0.0 (*)
      │   │       └── (dev) libdd-trace-utils v3.0.1 (*)
      │   ├── libdd-data-pipeline v3.0.1 (*)
      │   ├── libdd-dogstatsd-client v2.0.0
      │   │   └── libdd-data-pipeline v3.0.1 (*)
      │   ├── libdd-shared-runtime v0.1.0
      │   │   ├── (dev) libdd-data-pipeline v3.0.1 (*)
      │   │   ├── libdd-telemetry v4.0.0
      │   │   │   └── libdd-data-pipeline v3.0.1 (*)
      │   │   └── libdd-trace-stats v2.0.0 (*)
      │   ├── libdd-telemetry v4.0.0 (*)
      │   ├── libdd-trace-stats v2.0.0 (*)
      │   └── libdd-trace-utils v3.0.1 (*)
      ├── (dev) libdd-data-pipeline v3.0.1 (*)
      ├── (dev) libdd-trace-normalization v2.0.0
      │   └── libdd-trace-utils v3.0.1 (*)
      ├── (dev) libdd-trace-stats v2.0.0 (*)
      ├── libdd-trace-utils v3.0.1 (*)
      └── proptest v1.5.0
          └── (dev) libdd-tinybytes v1.1.0
              ├── libdd-data-pipeline v3.0.1 (*)
              ├── (dev) libdd-tinybytes v1.1.0 (*)
              └── libdd-trace-utils v3.0.1 (*)

error[vulnerability]: Name constraints for URI names were incorrectly accepted
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:230:1
    │
230 │ rustls-webpki 0.103.10 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0098
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0098
    ├ Name constraints for URI names were ignored and therefore accepted.
      
      Note this library does not provide an API for asserting URI names, and URI name constraints are otherwise not implemented.  URI name constraints are now rejected unconditionally.
      
      Since name constraints are restrictions on otherwise properly-issued certificates, this bug is reachable only after signature verification and requires misissuance to exploit.
      
      This vulnerability is identified as [GHSA-965h-392x-2mh5](https://github.com/rustls/webpki/security/advisories/GHSA-965h-392x-2mh5). Thank you to @1seal for the report.
    ├ Solution: Upgrade to >=0.103.12, <0.104.0-alpha.1 OR >=0.104.0-alpha.6 (try `cargo update -p rustls-webpki`)
    ├ rustls-webpki v0.103.10
      └── rustls v0.23.37
          ├── hyper-rustls v0.27.7
          │   └── libdd-common v3.0.2
          │       ├── libdd-capabilities-impl v0.1.0
          │       │   ├── (dev) libdd-data-pipeline v3.0.1
          │       │   ├── libdd-trace-stats v2.0.0
          │       │   │   └── libdd-data-pipeline v3.0.1 (*)
          │       │   └── libdd-trace-utils v3.0.1
          │       │       ├── libdd-data-pipeline v3.0.1 (*)
          │       │       ├── libdd-trace-stats v2.0.0 (*)
          │       │       └── (dev) libdd-trace-utils v3.0.1 (*)
          │       ├── libdd-data-pipeline v3.0.1 (*)
          │       ├── libdd-dogstatsd-client v2.0.0
          │       │   └── libdd-data-pipeline v3.0.1 (*)
          │       ├── libdd-shared-runtime v0.1.0
          │       │   ├── (dev) libdd-data-pipeline v3.0.1 (*)
          │       │   ├── libdd-telemetry v4.0.0
          │       │   │   └── libdd-data-pipeline v3.0.1 (*)
          │       │   └── libdd-trace-stats v2.0.0 (*)
          │       ├── libdd-telemetry v4.0.0 (*)
          │       ├── libdd-trace-stats v2.0.0 (*)
          │       └── libdd-trace-utils v3.0.1 (*)
          ├── libdd-common v3.0.2 (*)
          └── tokio-rustls v0.26.0
              ├── hyper-rustls v0.27.7 (*)
              └── libdd-common v3.0.2 (*)

error[vulnerability]: Name constraints were accepted for certificates asserting a wildcard name
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:230:1
    │
230 │ rustls-webpki 0.103.10 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0099
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0099
    ├ Permitted subtree name constraints for DNS names were accepted for certificates asserting a wildcard name.
      
      This was incorrect because, given a name constraint of `accept.example.com`, `*.example.com` could feasibly allow a name of `reject.example.com` which is outside the constraint.
      This is very similar to [CVE-2025-61727](https://go.dev/issue/76442).
      
      Since name constraints are restrictions on otherwise properly-issued certificates, this bug is reachable only after signature verification and requires misissuance to exploit.
      
      This vulnerability is identified as [GHSA-xgp8-3hg3-c2mh](https://github.com/rustls/webpki/security/advisories/GHSA-xgp8-3hg3-c2mh). Thank you to @1seal for the report.
    ├ Solution: Upgrade to >=0.103.12, <0.104.0-alpha.1 OR >=0.104.0-alpha.6 (try `cargo update -p rustls-webpki`)
    ├ rustls-webpki v0.103.10
      └── rustls v0.23.37
          ├── hyper-rustls v0.27.7
          │   └── libdd-common v3.0.2
          │       ├── libdd-capabilities-impl v0.1.0
          │       │   ├── (dev) libdd-data-pipeline v3.0.1
          │       │   ├── libdd-trace-stats v2.0.0
          │       │   │   └── libdd-data-pipeline v3.0.1 (*)
          │       │   └── libdd-trace-utils v3.0.1
          │       │       ├── libdd-data-pipeline v3.0.1 (*)
          │       │       ├── libdd-trace-stats v2.0.0 (*)
          │       │       └── (dev) libdd-trace-utils v3.0.1 (*)
          │       ├── libdd-data-pipeline v3.0.1 (*)
          │       ├── libdd-dogstatsd-client v2.0.0
          │       │   └── libdd-data-pipeline v3.0.1 (*)
          │       ├── libdd-shared-runtime v0.1.0
          │       │   ├── (dev) libdd-data-pipeline v3.0.1 (*)
          │       │   ├── libdd-telemetry v4.0.0
          │       │   │   └── libdd-data-pipeline v3.0.1 (*)
          │       │   └── libdd-trace-stats v2.0.0 (*)
          │       ├── libdd-telemetry v4.0.0 (*)
          │       ├── libdd-trace-stats v2.0.0 (*)
          │       └── libdd-trace-utils v3.0.1 (*)
          ├── libdd-common v3.0.2 (*)
          └── tokio-rustls v0.26.0
              ├── hyper-rustls v0.27.7 (*)
              └── libdd-common v3.0.2 (*)

error[vulnerability]: Reachable panic in certificate revocation list parsing
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:230:1
    │
230 │ rustls-webpki 0.103.10 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0104
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0104
    ├ A panic was reachable when parsing certificate revocation lists via [`BorrowedCertRevocationList::from_der`]
      or [`OwnedCertRevocationList::from_der`].  This was the result of mishandling a syntactically valid empty
      `BIT STRING` appearing in the `onlySomeReasons` element of a `IssuingDistributionPoint` CRL extension.
      
      This panic is reachable prior to a CRL's signature being verified.
      
      Applications that do not use CRLs are not affected.
      
      Thank you to @tynus3 for the report.
    ├ Solution: Upgrade to >=0.103.13, <0.104.0-alpha.1 OR >=0.104.0-alpha.7 (try `cargo update -p rustls-webpki`)
    ├ rustls-webpki v0.103.10
      └── rustls v0.23.37
          ├── hyper-rustls v0.27.7
          │   └── libdd-common v3.0.2
          │       ├── libdd-capabilities-impl v0.1.0
          │       │   ├── (dev) libdd-data-pipeline v3.0.1
          │       │   ├── libdd-trace-stats v2.0.0
          │       │   │   └── libdd-data-pipeline v3.0.1 (*)
          │       │   └── libdd-trace-utils v3.0.1
          │       │       ├── libdd-data-pipeline v3.0.1 (*)
          │       │       ├── libdd-trace-stats v2.0.0 (*)
          │       │       └── (dev) libdd-trace-utils v3.0.1 (*)
          │       ├── libdd-data-pipeline v3.0.1 (*)
          │       ├── libdd-dogstatsd-client v2.0.0
          │       │   └── libdd-data-pipeline v3.0.1 (*)
          │       ├── libdd-shared-runtime v0.1.0
          │       │   ├── (dev) libdd-data-pipeline v3.0.1 (*)
          │       │   ├── libdd-telemetry v4.0.0
          │       │   │   └── libdd-data-pipeline v3.0.1 (*)
          │       │   └── libdd-trace-stats v2.0.0 (*)
          │       ├── libdd-telemetry v4.0.0 (*)
          │       ├── libdd-trace-stats v2.0.0 (*)
          │       └── libdd-trace-utils v3.0.1 (*)
          ├── libdd-common v3.0.2 (*)
          └── tokio-rustls v0.26.0
              ├── hyper-rustls v0.27.7 (*)
              └── libdd-common v3.0.2 (*)

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:270:1
    │
270 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── tracing-appender v0.2.3
          └── libdd-log v1.0.0
              └── (dev) libdd-data-pipeline v3.0.1

advisories FAILED, bans ok, sources ok

Updated: 2026-04-23 18:06:42 UTC | Commit: 3166cc7 | dependency-check job results

datadog-datadog-prod-us1 · 2026-03-30T18:49:11Z

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 95.04%
• Overall Coverage: 71.81% (+0.07%)

_{This comment will be updated automatically if new data arrives.

🔗 Commit SHA: d4624a3 | Docs | Datadog PR Page | Give us feedback!}

codecov-commenter · 2026-03-30T18:49:43Z

Codecov Report

❌ Patch coverage is 95.04132% with 6 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.80%. Comparing base (950562b) to head (d4624a3).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1822      +/-   ##
==========================================
+ Coverage   71.73%   71.80%   +0.06%     
==========================================
  Files         434      434              
  Lines       69954    70074     +120     
==========================================
+ Hits        50183    50318     +135     
+ Misses      19771    19756      -15

Components	Coverage Δ
libdd-crashtracker	`65.97% <ø> (ø)`
libdd-crashtracker-ffi	`34.09% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`86.22% <95.04%> (+0.57%)`	⬆️
libdd-data-pipeline-ffi	`73.82% <93.47%> (+3.11%)`	⬆️
libdd-common	`79.41% <ø> (ø)`
libdd-common-ffi	`73.87% <ø> (ø)`
libdd-telemetry	`68.09% <ø> (+0.02%)`	⬆️
libdd-telemetry-ffi	`19.37% <ø> (ø)`
libdd-dogstatsd-client	`82.64% <ø> (ø)`
datadog-ipc	`76.31% <ø> (ø)`
libdd-profiling	`81.61% <ø> (+0.01%)`	⬆️
libdd-profiling-ffi	`64.36% <ø> (ø)`
datadog-sidecar	`29.11% <ø> (ø)`
datdog-sidecar-ffi	`7.20% <ø> (ø)`
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`87.26% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`89.27% <ø> (ø)`
datadog-tracer-flare	`86.88% <ø> (ø)`
libdd-log	`74.69% <ø> (ø)`

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pr-commenter · 2026-03-30T18:51:37Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-30 18:50:09

Comparing candidate commit d01347e in PR branch munir/add-session-id-to-trace-exporter with baseline commit 9ec69fa in branch munir/add-session-id-support-telemetry.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 61 metrics, 0 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

🟩 = significantly better candidate vs. baseline
🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:profile_add_sample2_frames_x1000

🟩 execution_time [-39.584µs; -37.614µs] or [-5.206%; -4.947%]

Candidate

Candidate benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_serialize_compressed_pprof_timestamped_x1000	execution_time	910.711µs	914.703µs ± 2.443µs	914.166µs ± 0.851µs	915.187µs	918.657µs	923.860µs	932.376µs	1.99%	3.394	17.588	0.27%	0.173µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000	execution_time	[914.364µs; 915.042µs] or [-0.037%; +0.037%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_frames_x1000	execution_time	4.178ms	4.182ms ± 0.002ms	4.182ms ± 0.001ms	4.183ms	4.185ms	4.190ms	4.194ms	0.28%	1.723	7.442	0.05%	0.000ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.182ms; 4.183ms] or [-0.007%; +0.007%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
write only interface	execution_time	5.365µs	5.430µs ± 0.035µs	5.424µs ± 0.018µs	5.445µs	5.483µs	5.553µs	5.616µs	3.54%	1.625	5.339	0.64%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[5.425µs; 5.435µs] or [-0.088%; +0.088%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
two way interface	execution_time	14.865µs	15.214µs ± 0.242µs	15.146µs ± 0.124µs	15.361µs	15.598µs	15.709µs	17.063µs	12.66%	2.564	15.375	1.59%	0.017µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.180µs; 15.247µs] or [-0.221%; +0.221%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	162.073µs	163.548µs ± 0.425µs	163.476µs ± 0.193µs	163.767µs	164.330µs	164.890µs	165.501µs	1.24%	0.858	2.988	0.26%	0.030µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[163.490µs; 163.607µs] or [-0.036%; +0.036%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching deserializing traces from msgpack to their internal representation	execution_time	50.660ms	50.950ms ± 1.298ms	50.793ms ± 0.042ms	50.830ms	50.947ms	57.955ms	65.198ms	28.36%	9.015	85.227	2.54%	0.092ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching deserializing traces from msgpack to their internal representation	execution_time	[50.770ms; 51.130ms] or [-0.353%; +0.353%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	243.229ns	255.828ns ± 13.014ns	250.123ns ± 4.963ns	264.611ns	283.845ns	288.092ns	289.124ns	15.59%	1.125	-0.078	5.07%	0.920ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[254.024ns; 257.632ns] or [-0.705%; +0.705%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
ip_address/quantize_peer_ip_address_benchmark	execution_time	5.013µs	5.118µs ± 0.054µs	5.125µs ± 0.052µs	5.155µs	5.197µs	5.200µs	5.202µs	1.50%	-0.143	-1.278	1.05%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.110µs; 5.125µs] or [-0.145%; +0.145%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	190.253ns	192.821ns ± 1.977ns	192.703ns ± 1.295ns	193.671ns	196.570ns	198.628ns	199.208ns	3.38%	1.010	0.771	1.02%	0.140ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[192.547ns; 193.095ns] or [-0.142%; +0.142%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching serializing traces from their internal representation to msgpack	execution_time	13.771ms	13.820ms ± 0.025ms	13.818ms ± 0.012ms	13.830ms	13.856ms	13.893ms	13.998ms	1.30%	2.314	13.034	0.18%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[13.817ms; 13.824ms] or [-0.025%; +0.025%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample2_frames_x1000	execution_time	720.593µs	721.722µs ± 0.420µs	721.694µs ± 0.255µs	721.989µs	722.477µs	722.700µs	722.833µs	0.16%	0.155	0.076	0.06%	0.030µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[721.663µs; 721.780µs] or [-0.008%; +0.008%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
redis/obfuscate_redis_string	execution_time	33.160µs	33.985µs ± 1.467µs	33.305µs ± 0.062µs	33.412µs	37.133µs	37.196µs	38.474µs	15.52%	1.717	1.024	4.31%	0.104µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.782µs; 34.188µs] or [-0.598%; +0.598%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
tags/replace_trace_tags	execution_time	2.369µs	2.421µs ± 0.019µs	2.419µs ± 0.008µs	2.427µs	2.467µs	2.473µs	2.477µs	2.41%	0.708	1.804	0.78%	0.001µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.418µs; 2.423µs] or [-0.108%; +0.108%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_timestamped_x1000	execution_time	4.181ms	4.187ms ± 0.009ms	4.185ms ± 0.001ms	4.187ms	4.192ms	4.213ms	4.290ms	2.50%	8.731	94.461	0.21%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_timestamped_x1000	execution_time	[4.185ms; 4.188ms] or [-0.029%; +0.029%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	145.213µs	147.497µs ± 1.822µs	147.205µs ± 0.596µs	147.837µs	149.182µs	154.233µs	165.327µs	12.31%	5.865	49.030	1.23%	0.129µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[147.244µs; 147.749µs] or [-0.171%; +0.171%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
receiver_entry_point/report/2598	execution_time	3.605ms	3.634ms ± 0.017ms	3.631ms ± 0.008ms	3.640ms	3.666ms	3.686ms	3.700ms	1.88%	1.231	2.035	0.46%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2598	execution_time	[3.631ms; 3.636ms] or [-0.063%; +0.063%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
concentrator/add_spans_to_concentrator	execution_time	14.789ms	14.850ms ± 0.035ms	14.842ms ± 0.021ms	14.871ms	14.919ms	14.941ms	14.965ms	0.83%	0.786	0.140	0.23%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[14.846ms; 14.855ms] or [-0.033%; +0.033%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	185.750µs	186.265µs ± 0.371µs	186.219µs ± 0.226µs	186.440µs	186.872µs	187.789µs	188.119µs	1.02%	1.645	4.931	0.20%	0.026µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5315772.855op/s	5368717.432op/s ± 10649.330op/s	5370022.761op/s ± 6528.005op/s	5376645.980op/s	5380895.318op/s	5382766.653op/s	5383575.009op/s	0.25%	-1.620	4.790	0.20%	753.021op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.814µs	17.915µs ± 0.127µs	17.898µs ± 0.024µs	17.926µs	18.025µs	18.092µs	19.505µs	8.98%	10.063	121.206	0.71%	0.009µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51268993.762op/s	55820558.636op/s ± 370279.505op/s	55872151.379op/s ± 74876.659op/s	55923982.889op/s	56075835.646op/s	56126835.302op/s	56136682.916op/s	0.47%	-9.603	113.137	0.66%	26182.715op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.563µs	10.622µs ± 0.039µs	10.612µs ± 0.018µs	10.634µs	10.691µs	10.775µs	10.814µs	1.91%	2.080	6.197	0.37%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	92471415.039op/s	94149352.720op/s ± 345283.603op/s	94234299.566op/s ± 157063.025op/s	94334680.376op/s	94564961.866op/s	94636135.866op/s	94673906.209op/s	0.47%	-2.038	5.982	0.37%	24415.238op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[186.214µs; 186.316µs] or [-0.028%; +0.028%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5367241.537op/s; 5370193.327op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.898µs; 17.933µs] or [-0.098%; +0.098%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55769241.458op/s; 55871875.814op/s] or [-0.092%; +0.092%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.616µs; 10.627µs] or [-0.051%; +0.051%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94101499.733op/s; 94197205.706op/s] or [-0.051%; +0.051%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
credit_card/is_card_number/	execution_time	3.902µs	3.917µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.924µs	3.927µs	3.929µs	0.34%	0.559	0.723	0.10%	0.000µs	1	200
credit_card/is_card_number/	throughput	254515634.525op/s	255323039.069op/s ± 257356.086op/s	255375981.889op/s ± 165000.071op/s	255515608.037op/s	255607891.057op/s	255714693.255op/s	256268416.784op/s	0.35%	-0.552	0.725	0.10%	18197.823op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.172µs	79.732µs ± 0.355µs	79.685µs ± 0.253µs	79.973µs	80.337µs	80.508µs	81.430µs	2.19%	0.916	1.731	0.44%	0.025µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12280461.172op/s	12542195.567op/s ± 55631.348op/s	12549417.065op/s ± 39784.968op/s	12584338.797op/s	12617511.279op/s	12626465.746op/s	12630653.333op/s	0.65%	-0.879	1.558	0.44%	3933.730op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.378µs	73.037µs ± 0.342µs	73.008µs ± 0.228µs	73.231µs	73.658µs	73.878µs	74.318µs	1.80%	0.638	0.428	0.47%	0.024µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13455608.474op/s	13692074.949op/s ± 63991.986op/s	13697175.716op/s ± 42571.811op/s	13743184.868op/s	13777526.845op/s	13809634.439op/s	13816330.742op/s	0.87%	-0.610	0.362	0.47%	4524.917op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.917µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.924µs	3.928µs	3.937µs	0.55%	0.385	4.171	0.11%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	253997374.465op/s	255323579.927op/s ± 286657.638op/s	255389884.479op/s ± 173347.893op/s	255502210.839op/s	255640725.653op/s	255731837.224op/s	256758077.772op/s	0.54%	-0.365	4.194	0.11%	20269.756op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.306µs	69.690µs ± 0.266µs	69.634µs ± 0.150µs	69.829µs	70.121µs	70.737µs	70.915µs	1.84%	1.523	3.699	0.38%	0.019µs	1	200
credit_card/is_card_number/378282246310005	throughput	14101395.891op/s	14349406.821op/s ± 54388.238op/s	14360868.071op/s ± 30835.954op/s	14388298.000op/s	14413130.006op/s	14426923.555op/s	14428730.488op/s	0.47%	-1.485	3.514	0.38%	3845.829op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.284µs	52.374µs ± 0.052µs	52.366µs ± 0.034µs	52.405µs	52.480µs	52.505µs	52.572µs	0.39%	0.796	0.431	0.10%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19021430.614op/s	19093469.837op/s ± 19004.113op/s	19096426.711op/s ± 12578.446op/s	19107783.452op/s	19119303.633op/s	19122142.630op/s	19126336.826op/s	0.16%	-0.791	0.417	0.10%	1343.794op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.710µs	5.852µs ± 0.052µs	5.850µs ± 0.036µs	5.885µs	5.940µs	5.967µs	5.972µs	2.09%	0.010	-0.397	0.89%	0.004µs	1	200
credit_card/is_card_number/x371413321323331	throughput	167436147.946op/s	170898351.730op/s ± 1524727.638op/s	170943336.472op/s ± 1050165.864op/s	172009363.383op/s	173344387.131op/s	174173563.604op/s	175137271.138op/s	2.45%	0.033	-0.383	0.89%	107814.525op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.916µs ± 0.004µs	3.915µs ± 0.002µs	3.918µs	3.922µs	3.924µs	3.930µs	0.36%	-0.344	5.707	0.09%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254483946.329op/s	255365816.626op/s ± 239635.600op/s	255411270.014op/s ± 145577.723op/s	255537720.354op/s	255642759.421op/s	255755752.996op/s	256788009.479op/s	0.54%	0.366	5.811	0.09%	16944.796op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.044µs	64.414µs ± 0.164µs	64.397µs ± 0.100µs	64.508µs	64.735µs	64.862µs	65.113µs	1.11%	0.805	1.292	0.25%	0.012µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15357988.812op/s	15524706.005op/s ± 39409.635op/s	15528746.352op/s ± 24095.935op/s	15550739.181op/s	15577377.676op/s	15600939.738op/s	15614327.707op/s	0.55%	-0.785	1.235	0.25%	2786.682op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.823µs	58.081µs ± 0.190µs	58.027µs ± 0.097µs	58.156µs	58.502µs	58.613µs	58.839µs	1.40%	1.455	2.014	0.33%	0.013µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16995476.747op/s	17217488.018op/s ± 56161.724op/s	17233471.950op/s ± 28751.299op/s	17257558.066op/s	17277360.697op/s	17284050.351op/s	17294123.457op/s	0.35%	-1.436	1.941	0.33%	3971.234op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.893µs	3.916µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.923µs	3.927µs	3.929µs	0.34%	-0.243	4.921	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254498718.239op/s	255342651.003op/s ± 267783.081op/s	255373543.302op/s ± 173788.788op/s	255527546.575op/s	255656849.492op/s	255733108.547op/s	256878619.019op/s	0.59%	0.264	5.019	0.10%	18935.123op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.616µs	54.887µs ± 0.222µs	54.816µs ± 0.108µs	55.003µs	55.312µs	55.634µs	55.878µs	1.94%	1.520	2.611	0.40%	0.016µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17896106.355op/s	18219533.310op/s ± 73147.347op/s	18242864.262op/s ± 36160.561op/s	18271155.788op/s	18292760.642op/s	18305660.843op/s	18309491.640op/s	0.37%	-1.492	2.480	0.40%	5172.299op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.175µs	52.289µs ± 0.066µs	52.283µs ± 0.044µs	52.328µs	52.390µs	52.468µs	52.514µs	0.44%	0.629	0.321	0.13%	0.005µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19042360.678op/s	19124411.241op/s ± 23972.034op/s	19126748.762op/s ± 16267.961op/s	19142489.151op/s	19157780.921op/s	19162765.050op/s	19166292.372op/s	0.21%	-0.622	0.303	0.13%	1695.079op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.711µs	5.844µs ± 0.059µs	5.842µs ± 0.038µs	5.881µs	5.939µs	5.966µs	5.977µs	2.31%	0.105	-0.654	1.00%	0.004µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	167314123.701op/s	171145147.758op/s ± 1717000.423op/s	171175669.885op/s ± 1113462.938op/s	172286805.417op/s	173973845.773op/s	174301011.512op/s	175100844.357op/s	2.29%	-0.064	-0.661	1.00%	121410.264op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.916µs; 3.917µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/	throughput	[255287371.990op/s; 255358706.147op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.683µs; 79.782µs] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12534485.597op/s; 12549905.537op/s] or [-0.061%; +0.061%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.989µs; 73.084µs] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13683206.275op/s; 13700943.623op/s] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255283851.935op/s; 255363307.919op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.653µs; 69.727µs] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14341869.134op/s; 14356944.508op/s] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.367µs; 52.381µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19090836.050op/s; 19096103.624op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.845µs; 5.859µs] or [-0.124%; +0.124%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[170687039.144op/s; 171109664.317op/s] or [-0.124%; +0.124%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.916µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255332605.436op/s; 255399027.815op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.391µs; 64.437µs] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15519244.208op/s; 15530167.801op/s] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.055µs; 58.107µs] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17209704.543op/s; 17225271.492op/s] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255305538.843op/s; 255379763.162op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.856µs; 54.918µs] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18209395.792op/s; 18229670.829op/s] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.280µs; 52.298µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19121088.948op/s; 19127733.535op/s] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.835µs; 5.852µs] or [-0.139%; +0.139%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[170907188.013op/s; 171383107.503op/s] or [-0.139%; +0.139%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	495.783µs	497.051µs ± 1.358µs	496.698µs ± 0.413µs	497.215µs	500.081µs	500.735µs	507.253µs	2.13%	3.781	20.101	0.27%	0.096µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1971402.183op/s	2011881.272op/s ± 5441.174op/s	2013297.382op/s ± 1675.095op/s	2014860.097op/s	2016199.977op/s	2016665.601op/s	2017013.283op/s	0.18%	-3.718	19.437	0.27%	384.749op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.852µs	371.850µs ± 0.484µs	371.778µs ± 0.292µs	372.089µs	372.809µs	373.170µs	374.167µs	0.64%	1.115	2.302	0.13%	0.034µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2672605.584op/s	2689259.772op/s ± 3492.704op/s	2689778.963op/s ± 2112.192op/s	2691652.930op/s	2693901.038op/s	2694880.311op/s	2696496.009op/s	0.25%	-1.103	2.251	0.13%	246.971op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.926µs	168.394µs ± 0.239µs	168.367µs ± 0.145µs	168.535µs	168.791µs	169.023µs	169.280µs	0.54%	0.602	0.488	0.14%	0.017µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5907379.705op/s	5938477.530op/s ± 8409.981op/s	5939397.975op/s ± 5135.519op/s	5944203.147op/s	5950730.375op/s	5953310.152op/s	5954986.671op/s	0.26%	-0.593	0.465	0.14%	594.675op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.787µs	37.020µs ± 0.115µs	37.052µs ± 0.068µs	37.105µs	37.172µs	37.209µs	37.321µs	0.73%	-0.440	-0.695	0.31%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26794557.464op/s	27012600.461op/s ± 83987.075op/s	26989340.672op/s ± 49770.593op/s	27073812.495op/s	27168336.895op/s	27180259.202op/s	27183710.609op/s	0.72%	0.451	-0.695	0.31%	5938.783op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.272µs	46.447µs ± 0.137µs	46.417µs ± 0.046µs	46.489µs	46.627µs	46.729µs	47.928µs	3.26%	6.687	66.754	0.29%	0.010µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20864654.464op/s	21529949.388op/s ± 62369.584op/s	21544032.052op/s ± 21268.211op/s	21559983.377op/s	21581277.206op/s	21595606.402op/s	21611528.454op/s	0.31%	-6.478	63.625	0.29%	4410.196op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[496.863µs; 497.239µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2011127.177op/s; 2012635.366op/s] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.783µs; 371.917µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2688775.717op/s; 2689743.828op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.361µs; 168.427µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5937311.988op/s; 5939643.073op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.004µs; 37.036µs] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27000960.660op/s; 27024240.262op/s] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.428µs; 46.466µs] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21521305.564op/s; 21538593.213op/s] or [-0.040%; +0.040%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d01347e`	1774895527	munir/add-session-id-to-trace-exporter

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	289.584µs	290.571µs ± 0.699µs	290.468µs ± 0.149µs	290.639µs	291.245µs	292.253µs	298.732µs	2.84%	8.382	91.835	0.24%	0.049µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[290.474µs; 290.668µs] or [-0.033%; +0.033%]	None	None	None

Baseline

Omitted due to size.

dd-octo-sts · 2026-03-30T19:12:27Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.63 MB	7.63 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	83.34 MB	83.33 MB	--.01% (-16.88 KB) 💪

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	99.41 MB	99.45 MB	+.04% (+42.17 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.10 MB	10.17 MB	+.62% (+65.15 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	25.17 MB	25.18 MB	+.02% (+7.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	79.90 KB	79.90 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	184.45 MB	184.45 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	918.37 MB	918.41 MB	+0% (+44.81 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	7.89 MB	7.90 MB	+.06% (+5.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	79.90 KB	79.90 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	23.67 MB	23.68 MB	+.03% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	46.19 MB	46.21 MB	+.04% (+19.74 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	21.66 MB	21.66 MB	+.02% (+6.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	81.14 KB	81.14 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	188.55 MB	188.55 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	903.78 MB	903.82 MB	+0% (+42.87 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.13 MB	6.13 MB	+.04% (+3.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	81.14 KB	81.14 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	25.36 MB	25.37 MB	+.03% (+8.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	43.67 MB	43.69 MB	+.03% (+17.37 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	74.43 MB	74.30 MB	--.17% (-133.68 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.52 MB	8.55 MB	+.27% (+24.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	91.78 MB	91.82 MB	+.03% (+36.46 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.20 MB	10.20 MB	+.04% (+4.87 KB) 🔍

Resolve conflicts by combining session instrumentation (session/root/parent headers and TelemetryInstrumentationSessions) with main's shared runtime and telemetry worker setup. FFI trace exporter uses GenericTraceExporter alias. Telemetry integration test uses SharedRuntime. Take telemetry expanded.rs from main. Made-with: Cursor

mabdinur added 2 commits March 30, 2026 14:31

chore(telemetry): add session id support

9ec69fa

add session id support to trace export

d01347e

github-actions Bot added the data-pipeline label Mar 30, 2026

mabdinur force-pushed the munir/add-session-id-to-trace-exporter branch from 0b9c1a7 to d01347e Compare April 3, 2026 19:31

mabdinur force-pushed the munir/add-session-id-support-telemetry branch from 2974373 to 97c7629 Compare April 3, 2026 19:53

Base automatically changed from munir/add-session-id-support-telemetry to main April 15, 2026 19:27

github-actions Bot added the telemetry label Apr 23, 2026

Conversation

mabdinur commented Mar 30, 2026

What does this PR do?

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📚 Documentation Check Results

📦 libdd-data-pipeline - 935 warning(s)

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Clippy Allow Annotation Report

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About This Report

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🔒 Cargo Deny Results

📦 libdd-data-pipeline - 5 error(s)

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Codecov Report

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Benchmarks

Comparison

Explanation

More details about the CI and significant changes

scenario:profile_add_sample2_frames_x1000

Candidate

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Baseline

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Artifact Size Benchmark Report

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Reviewers

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2 participants

github-actions Bot commented Mar 30, 2026 •

edited

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📦 `libdd-data-pipeline` - 935 warning(s)

github-actions Bot commented Mar 30, 2026 •

edited

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github-actions Bot commented Mar 30, 2026 •

edited

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📦 `libdd-data-pipeline` - 5 error(s)

datadog-datadog-prod-us1 Bot commented Mar 30, 2026 •

edited by datadog-official Bot

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codecov-commenter commented Mar 30, 2026 •

edited

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pr-commenter Bot commented Mar 30, 2026 •

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dd-octo-sts Bot commented Mar 30, 2026 •

edited

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